Web Developer (short-term, 2 months) In Open-Source Machine Learning

With over 110 (assistant associate and full) professors almost 300 PhD and EngD students about 1500 Bachelor students and 1000 Master students the Department of Mathematics and Computer Science (M&CS) is the largest department of the TU/e. By performing top-level fundamental and applied research and maintaining strong ties with industry M&CS aims to contribute to science and innovation in and beyond the region.

Introduction

Join our team to help build the next version of to support machine learning education. We are looking for a creative web developer to create engaging and informative extensions for including leaderboards for classroom challenges and dashboards to explore model performance.

Job Description

We are seeking a motivated Web Developer for a short-term position (until 31 December 2025) to contribute to a global platform for open machine learning. Youll be part of a dynamic team of engineers dedicated to making machine learning more accessible and create an engaging environment for students.

Snapshot
This role focuses on creating new educational tools on the next version of a popular machine learning platform that supports researchers educators and students worldwide. You will develop extensions that help students learn about machine learning in a hands-on interactive way.

The team
Youll be part of the OpenML engineering team part of the research groups on Advanced Models through Open Research and Engineering (AMORE) and the open source community behind OpenML. We are a team of scientists and engineers who aim to deeply understand explain and build AI systems. Learn more about us here: .

The role
We are looking for a skilled web developer with experience in frameworks like React this role you will help create and fine-tune new features for with a focus on education. You will help create leaderboards for classroom challenges and interactive dashboards to explore machine learning model performance and structure.

Key responsibilities:

• Development of a web-based machine learning platform.
• Interactive visualization of machine learning models and results.
• Building and maintaining open-source web applications.
• User interface and user experience design for education.

Impact
OpenML is a popular open machine learning platform with over 300.000 users and is used directly or indirectly in over 1000 university courses. Your work will directly affect a wide audience of machine learning students researchers and practitioners. Gain invaluable new skills in open source development as you help democratize AI and help educate the next generation of AI experts.

This research will be performed under the supervision of professor Joaquin Vanschoren in collaboration with open source contributors from several key European research labs and industrial partners.

Job Requirements

• A masters degree (or equivalent experience) in Computer Science or a related field.
• Deep knowledge of React and . Knowledge of Plotly Dash is an asset.
• Experience in programming and web development. Open source development experience is an asset.
• Excellent problem-solving skills and the ability to work independently and collaboratively.
• Fluent in spoken and written English (C1 level).

Conditions of employment

A meaningful job in a dynamic and ambitious university in an interdisciplinary setting and within an international network. You will work on a beautiful green campus within walking distance of the central train addition we offer you:

• Full-time employment for 2 months.
• Salary in accordance with the Collective Labour Agreement for Dutch Universities scale 9 (min. 3708 max. 5057).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs on general skills didactics and topics related to research and valorization.
• An excellent technical infrastructure on-campus childrens day care and sports facilities.
• Partially paid parental leave and an allowance for commuting working from home and internet costs.
• A Staff Immigration Team is available for international candidates as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.

More information

Do you recognize yourself in this profile and would you like to have more information about the position please contact the hiring manager: Joaquin Vanschoren Associate Professor .

For questions about the application process or the conditions of employment please contact Pieter Gijsbers Research engineer .

Are you inspired and would like to know more about working at TU/e Please visit our career page.

Application

We invite you to submit a complete application using the apply-button. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae including a list of your main achievements.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Important note for non-EU applicants:
Please be aware that for this position specific residence permit requirements apply. If you are a non-EU national you may not be eligible to legally work in this role under current Dutch immigration regulations. We strongly advise you to contact our Staff Immigration Team () before applying to check your eligibility and to receive further guidance.

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check please consult Chapter 8 of the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.